About
DeepInfra is a high-performance AI inference platform that gives developers and enterprises instant API access to over 100 machine learning models without the burden of managing GPUs, deployment pipelines, or scaling infrastructure. The catalog spans a wide range of model types — including text generation (LLMs), text-to-image, text-to-speech, automatic speech recognition (ASR), embeddings, reranking, and text-to-video — covering virtually every AI modality a modern application might need. The platform hosts models from the industry's leading families: Llama, DeepSeek, Mistral, Qwen, Flux, Gemini, Claude, Nemotron, and more. This breadth allows development teams to benchmark and swap models without vendor lock-in. DeepInfra runs its own hardware and data centers, enabling optimized throughput, competitive latency, and control over the full inference stack. Pricing is fully transparent and pay-as-you-go with per-token billing for text models and per-character or per-image pricing for generative models. There are no long-term contracts, no hidden fees, and no minimum spend — making DeepInfra accessible to early-stage startups while scaling to enterprise workloads. Security is a core priority: DeepInfra enforces a zero data retention policy so inputs, outputs, and user data are never stored. The platform is SOC 2 and ISO 27001 certified. For teams requiring dedicated compute, on-demand GPU rental (including NVIDIA DGX B200 instances) is available alongside hands-on enterprise support.
Key Features
- 100+ Models Across All Modalities: Access text generation, text-to-image, text-to-speech, ASR, embeddings, reranking, and video generation models from a single platform.
- Transparent Pay-As-You-Go Pricing: Per-token billing for LLMs and per-output pricing for generative models, with no contracts, minimums, or hidden fees.
- Zero Data Retention Policy: All inputs, outputs, and user data are discarded immediately after inference, ensuring complete privacy for sensitive workloads.
- SOC 2 & ISO 27001 Certified: Industry-standard security and compliance certifications make DeepInfra suitable for enterprise and regulated-industry deployments.
- On-Demand GPU Rental: Rent dedicated GPU compute including NVIDIA DGX B200 instances by the hour for high-throughput, custom, or fine-tuning workloads.
Use Cases
- Integrating state-of-the-art LLMs into production applications via a simple API without managing GPU infrastructure
- Generating images at scale from text prompts using Flux and other leading diffusion models
- Building speech-enabled applications with cost-effective text-to-speech and ASR model APIs
- Running semantic search and RAG pipelines using high-quality embedding and reranker models
- Rapidly benchmarking and switching between multiple model families to optimize cost, quality, and latency
Pros
- Massive Model Catalog: With 100+ models spanning all major families and modalities, developers can test, benchmark, and deploy the right model for any use case without switching platforms.
- Competitive Inference Pricing: Pay-as-you-go rates are among the most cost-efficient in the industry, making DeepInfra a strong choice for cost-sensitive startups and high-volume enterprise workloads.
- Enterprise-Grade Security: Zero retention policy combined with SOC 2 and ISO 27001 certifications satisfies strict data privacy requirements without extra configuration.
Cons
- No Apparent Free Tier: DeepInfra does not prominently advertise a free usage tier, meaning developers must pay from the first API call, which may deter casual experimentation.
- Limited Model Customization: The platform is focused on inference of existing models; custom fine-tuning workflows and proprietary model hosting may have limited self-service support.
- Smaller Ecosystem Compared to Hyperscalers: As a specialized inference provider, DeepInfra has fewer native integrations and tooling partnerships than AWS, Google Cloud, or Azure.
Frequently Asked Questions
What types of models does DeepInfra offer?
DeepInfra offers 100+ models across text generation (LLMs), text-to-image, text-to-speech, automatic speech recognition, embeddings, reranking, and text-to-video generation.
How is DeepInfra priced?
DeepInfra uses transparent pay-as-you-go pricing. LLMs are billed per million input and output tokens, while image models are priced per image based on resolution, and speech models per million characters.
Does DeepInfra store my data?
No. DeepInfra enforces a strict zero data retention policy — your inputs, outputs, and user data are never stored after inference completes.
Is DeepInfra compliant with enterprise security standards?
Yes. DeepInfra is SOC 2 and ISO 27001 certified, following industry best practices for information security and privacy management.
Can I rent dedicated GPUs on DeepInfra?
Yes. DeepInfra offers on-demand GPU rental including NVIDIA DGX B200 instances for teams that need dedicated compute for high-throughput inference or specialized workloads.
